Stochastic Linear Optimization with Adversarial Corruption

4 September 2019

Papers citing "Stochastic Linear Optimization with Adversarial Corruption"

27 / 27 papers shown

Title
A Model Selection Approach for Corruption Robust Reinforcement Learning Chen-Yu Wei Christoph Dann Julian Zimmert 193 45 0 31 Dec 2024
Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification Haolin Liu Artin Tajdini Andrew Wagenmaker Chen-Yu Wei 75 1 0 10 Oct 2024
Improved Bound for Robust Causal Bandits with Linear Models Zirui Yan Arpan Mukherjee Burak Varici A. Tajer 63 1 0 13 May 2024
Nearly Optimal Algorithms for Contextual Dueling Bandits from Adversarial Feedback Qiwei Di Jiafan He Quanquan Gu 112 1 0 16 Apr 2024
Robust Causal Bandits for Linear Models Zirui Yan Arpan Mukherjee Burak Varici A. Tajer CML 75 4 0 30 Oct 2023
Online Corrupted User Detection and Regret Minimization Zhiyong Wang Jize Xie Tong Yu Shuai Li J. C. Lui 76 6 0 07 Oct 2023
Robust Lipschitz Bandits to Adversarial Corruptions Yue Kang Cho-Jui Hsieh T. C. Lee AAML 98 10 0 29 May 2023
Robust and differentially private stochastic linear bandits Vasileios Charisopoulos Hossein Esfandiari Vahab Mirrokni FedML 84 1 0 23 Apr 2023
Best-of-three-worlds Analysis for Linear Bandits with Follow-the-regularized-leader Algorithm Fang-yuan Kong Canzhe Zhao Shuai Li 83 12 0 13 Mar 2023
Best-of-Three-Worlds Linear Bandit Algorithm with Variance-Adaptive Regret Bounds Shinji Ito Kei Takemura 50 9 0 24 Feb 2023
Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes Chen Ye Wei Xiong Quanquan Gu Tong Zhang 210 31 0 12 Dec 2022
Contexts can be Cheap: Solving Stochastic Contextual Bandits with Linear Bandit Algorithms Osama A. Hanna Lin F. Yang Christina Fragouli 131 11 0 08 Nov 2022
Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions Jiafan He Dongruo Zhou Tong Zhang Quanquan Gu 119 49 0 13 May 2022
A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits Ilija Bogunovic Zihan Li Andreas Krause Jonathan Scarlett 79 9 0 03 Feb 2022
Linear Contextual Bandits with Adversarial Corruptions Heyang Zhao Dongruo Zhou Quanquan Gu AAML 104 24 0 25 Oct 2021
On Optimal Robustness to Adversarial Corruption in Online Decision Problems Shinji Ito 77 22 0 22 Sep 2021
Cooperative Stochastic Multi-agent Multi-armed Bandits Robust to Adversarial Corruptions Junyan Liu Shuai Li Dapeng Li 58 6 0 08 Jun 2021
Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks Qin Ding Cho-Jui Hsieh James Sharpnack AAML 113 33 0 05 Jun 2021
Bias-Robust Bayesian Optimization via Dueling Bandits Johannes Kirschner Andreas Krause 55 11 0 25 May 2021
Improved Corruption Robust Algorithms for Episodic Reinforcement Learning Yifang Chen S. Du Kevin Jamieson 75 24 0 13 Feb 2021
Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously Chung-Wei Lee Haipeng Luo Chen-Yu Wei Mengxiao Zhang Xiaojin Zhang 98 49 0 11 Feb 2021
Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions Zixin Zhong Wang Chi Cheung Vincent Y. F. Tan AAML 70 13 0 15 Oct 2020
On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization Xu Cai Jonathan Scarlett 113 31 0 20 Aug 2020
Corruption-Tolerant Gaussian Process Bandit Optimization Ilija Bogunovic Andreas Krause Jonathan Scarlett 111 53 0 04 Mar 2020
Contextual Search in the Presence of Adversarial Corruptions A. Krishnamurthy Thodoris Lykouris Chara Podimata Robert Schapire 106 4 0 26 Feb 2020
Adversarial Attacks on Linear Contextual Bandits Evrard Garcelon Baptiste Roziere Laurent Meunier Jean Tarbouriech O. Teytaud A. Lazaric Matteo Pirotta AAML 74 51 0 10 Feb 2020
Corruption-robust exploration in episodic reinforcement learning Thodoris Lykouris Max Simchowitz Aleksandrs Slivkins Wen Sun 105 105 0 20 Nov 2019